Mundy, J.L., and
Zisserman, A.,
Forsyth, D.A.,
Applications of Invariance in Computer Vision,
Springer-VerlagOctober 1993,
BibRef
9310
LNCS825.
Springer DOI Indexed as:
AIVCV93Second Joint European-US Workshop, Ponta Delgada, Azores, Portugal.
BibRef
Zisserman, A.,
Forsyth, D.A.,
Mundy, J.L.,
Rothwell, C.A.,
Liu, J.,
Pillow, N.,
3D Object Recognition Using Invariance,
AI(78), No. 1-2, October 1995, pp. 239-288.
Elsevier DOI
BibRef
9510
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Transformational Invariance: A Primer,
IVC(10), No. 1, January-February 1992, pp. 39-45.
Elsevier DOI
BibRef
9201
Earlier:
BMVC90(xx-yy).
PDF File.
9009
BibRef
Rothwell, C.A.,
Zisserman, A.,
Forsyth, D.A.,
Mundy, J.L.,
Using Projective Invariants for Constant Time Library Indexing in Model
Based Vision,
BMVC91(xx-yy).
PDF File.
9109
BibRef
Mundy, J.L.,
Object Recognition: The Search for Representation,
ORCV94(19-50).
Springer DOI
9412
Not directly about invariants, but about representations and the
system MORSE.
BibRef
Kapur, D.[Deepak],
Mundy, J.L.[Joseph L.],
Geometric Reasoning and Artificial Intelligence:
Introduction to the Special Volume,
AI(37), No. 1-3, December 1988, pp. 1-11.
Elsevier DOI
BibRef
8812
Kapur, D.[Deepak],
Mundy, J.L.[Joseph L.],
Wu's Method and Its Application to Perspective Viewing,
AI(37), No. 1-3, December 1988, pp. 15-36.
Elsevier DOI
BibRef
8812
Rothwell, C.A.,
Object Recognition through Invariant Indexing,
Oxford University Press1995.
BibRef
9500
Earlier:
Recognition Using Projective Invariance,
Ph.D.Thesis. Oxford, 1993.
BibRef
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Coelho, C.,
Heller, A.J., and
Rothwell, C.A.,
Invariant Descriptors for 3-D Object Recognition and Pose,
PAMI(13), No. 10, October 1991, pp. 971-991.
IEEE DOI
BibRef
9110
Rothwell, C.A.,
Zisserman, A.,
Marinos, C.I.,
Forsyth, D.A.,
Mundy, J.L.,
Relative Motion and Pose from Arbitrary Plane Curves,
IVC(10), No. 4, May 1992, pp. 250-262.
Elsevier DOI
BibRef
9205
Earlier: A2, A3, A4, A5, A1:
Relative motion and pose from invariants,
BMVC90(xx-yy).
PDF File.
9009
BibRef
Rothwell, C.A.,
Zisserman, A.,
Forsyth, D.A., and
Mundy, J.L.,
Planar Object Recognition Using Projective Shape Representation,
IJCV(16), No. 1, September 1995, pp. 57-99.
Springer DOI
BibRef
9509
Earlier:
Canonical Frames for Planar Object Recognition,
ECCV92(757-772).
Springer DOI Indexing on functions based on algebraic curves and a projective frame.
Partial occlusions by unmodelled objects alowed.
BibRef
Rothwell, C.A., and
Utcke, S.[Sven],
MORSE: A 3D Object Recognition System Based on Geometric Invariants,
ARPA94(II:1393-1402).
BibRef
9400
Forsyth, D.A.,
Mundy, J.L.,
Zisserman, A.,
Rothwell, C.A.,
Using Global Consistency to Recognise Euclidean Objects with an
Uncalibrated Camera,
CVPR94(502-507).
IEEE DOI
BibRef
9400
Liu, J.,
Mundy, J.L.,
Forsyth, D.A.,
Zisserman, A., and
Rothwell, C.A.,
Efficient Recognition of Rotationally Symmetric Surface
and Straight Homogeneous Generalized Cylinders,
CVPR93(123-128).
IEEE DOI
BibRef
9300
And:
DARPA93(755-765).
BibRef
Mundy, J.L.,
Welty, R.P.,
Brill, M.H.,
Payton, P.M., and
Barrett, E.B.,
3-D Model Alignment without Computing Pose,
DARPA92(727-735).
Unlike UMass/MIT if two or more views in 3-D, there are invariants.
BibRef
9200
Nguyen, V.D.,
Mundy, J.L., and
Kapur, D.,
Modeling Generic Polyhedral Objects with Constraints,
CVPR91(479-485).
IEEE DOI
BibRef
9100
Rothwell, C.A.,
Forsyth, D.A.,
Zisserman, A., and
Mundy, J.L.,
Extracting Projective Structure from Single Perspective
Views of 3D Point Sets,
ICCV93(573-582).
IEEE DOI
Award, Marr Prize.
BibRef
9300
Earlier: A1, A3, A4, A2:
Efficient Model Library Access by Projectively
Invariant Indexing Functions,
CVPR92(109-114).
IEEE DOI
Matching, Indexing. Use the invariants that exist.
Uses Line Segments.
BibRef
Forsyth, D.A.[David A.],
Mundy, J.L.[Joseph L.],
Zisserman, A.[Andrew],
Brown, C.M.[Christopher M.],
Projectively Invariant Representations Using Implicit Algebraic Curves,
IVC(9), No. 2, April 1991, pp. 130-136.
Elsevier DOI
BibRef
9104
Earlier:
ECCV90(427-436).
Springer DOI
9004
BibRef
And:
Invariance: A New Framework for Vision,
ICCV90(598-605).
IEEE DOI
BibRef
Heller, A.J.,
LaRocque, D.M., and
Mundy, J.L.,
The Interpretation of Synthetic Aperture Radar Image Using
Projective Invariants and Deformable Templates,
DARPA92(831-837).
Deformable Template.
Application, SAR.
BibRef
9200
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Matching Using Accumulation and Alignment Schemes .